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About Us
Tradelab Technologies is a leading fintech company building high-performance trading platforms, low-latency systems, and scalable market infrastructure for the global trading and broking ecosystem. We work at the intersection of technology, trading, and innovation.
Role Overview
We are looking for an experienced Python Backend Developer with strong expertise in trading, low-latency systems, or high-frequency trading (HFT). The ideal candidate will design, develop, and optimize backend components powering real-time trading systems.
Key Responsibilities
- Develop and maintain backend microservices and real-time trading components using Python.
- Build low-latency, high-throughput systems optimized for trading workflows.
- Integrate with market data feeds, order management systems, APIs, and broker/exchange interfaces.
- Write clean, scalable, and high-performance code with a focus on reliability and fault tolerance.
- Work closely with product, QA, and DevOps teams to deliver robust and scalable platforms.
- Troubleshoot production issues and optimize system performance.
- Ensure system security, stability, and compliance with industry standards.
Required Skills & Experience
- 5–8 years of backend development experience with Python.
- Strong experience in trading/HFT/fintech/market infrastructure is mandatory.
- Deep understanding of algorithms, data structures, and system design.
- Experience working with multithreading, multiprocessing, asynchronous programming.
- Strong knowledge of API development (REST, WebSockets).
- Experience with Redis, Kafka, RabbitMQ, PostgreSQL/MySQL, or similar technologies.
- Hands-on experience building low-latency and high-availability systems.
- Familiarity with Linux systems, shell scripting, and performance profiling.
- Exposure to FIX protocol, OMS, RMS, or market data systems is a plus.
Good to Have
- Knowledge of microservices architecture and containerization (Docker, Kubernetes).
- Understanding of exchange trading mechanisms and order lifecycles.
- Prior experience in broker terminals, algo systems, or risk engines.
Why Join Tradelab Technologies?
- Work on cutting-edge trading technologies impacting millions of users.
- Fast-paced, innovation-driven engineering culture.
- Opportunity to build mission-critical systems in fintech and HFT.
- Competitive compensation and growth opportunities.
About Us:
We’re a fast-growing fintech startup building cutting-edge trading platforms for brokers and financial institutions. We move fast, break barriers, and redefine what’s possible in trading technology. Our systems power real-time market data, high-frequency trade execution, and risk management, ensuring seamless transactions at lightning speed. If you thrive in an environment where innovation meets extreme performance, this is the place to be.
What We Expect:
• 4+ years of experience in C++ development, specializing in high-performance, low-latency systems.
• Deep expertise in modern C++ (C++14/17/20), multithreading, and concurrency.
• Strong Qt development experience for building real-time, high-performance trading UIs.
• Experience building ultra-fast order execution engines, market data feeds, and real-time risk
management tools.
• Strong understanding of networking protocols (TCP/IP, UDP, FIX) and interprocess communication (IPC, shared memory, message queues).
• Hands-on experience with latency optimization, performance tuning, and profiling tools (perf, Valgrind, gprof, etc.).
• Proficiency in memory management, lock-free programming, and CPU cache optimization.
• A deep understanding of exchange connectivity, order matching engines, and algorithmic trading systems.
• A hacker mentality—you love solving problems that seem impossible.
What You Will Do:
• Architect, develop, and optimize ultra-low-latency C++ trading applications that handle millions of transactions per second.
• Build high-performance market data processing solutions with microsecond-level latencies.
• Develop real-time, intuitive, and high-speed trading interfaces using Qt.
• Work on exchange connectivity, FIX protocol integrations, and risk management systems.• Profile and optimize code to achieve maximum throughput and minimal latency.
• Solve some of the hardest engineering problems in fintech alongside an elite team.
• Experiment with new technologies to stay ahead of the competition.
• Own your work end-to-end—from concept to deployment, pushing the limits of what’s possible.
Why Join Us?
• Be part of a high-energy startup with massive growth potential.
• Work with visionary fintech leaders and top-tier engineers.
• Build industry-defining products that will shape the future of trading.
• A culture that values bold ideas, rapid execution, and relentless optimization.
• Competitive compensation and a real opportunity to lead and innovate.
If you’re obsessed with performance, love breaking speed barriers, and want to be part of something
big, we want you on our team. This is your chance to build the future of trading. Let’s disrupt together.
Apply now.
Bachelor’s Degree or equivalent degree in computer science
Min 1-3 years of experience in Python and backend technology
Development experience with programming languages like C/C++, Erlang, Elixir.
Experience in Python / Go Lang is a must
Experience in creating and dealing with REST API and socket technology
Working Knowledge of RabbitMQ and Kafka
Knowledge of both SQL and NoSQL databases along with Redis and elastic search.
Working knowledge of network communication, TCP, UDP, HTTP, etc
Roles and Responsibilities:
Participate in the entire application lifecycle, focusing on coding and debugging
Write clean code to develop functional web applications
Troubleshoot and debug applications
Perform UI tests to optimize performance
Manage cutting-edge technologies to improve legacy applications
Collaborate with Front-end developers to integrate user-facing elements with server-side logic
Gather and address technical and design requirements
Provide training and support to internal teams
Build reusable code and libraries for future use
Liaise with developers, designers, and system administrators to identify new features
Follow emerging technologies
Optimizing multiple producers and multiple consumer system
Develop a Fault-tolerant application design.


